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Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines
- Source :
- Operational Research
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Data envelopment analysis (DEA) is a popular non-parametric approach to examine performance and productivity of airlines; however, it could not provide statistical information such as confidence intervals on the estimated efficiency scores. We combined stochastic frontier analysis and DEA into a single framework to disentangle noise and ‘pure’ inefficiency from the DEA inefficiency scores and accordingly provide confidence intervals for the estimated efficiency scores. Monte-Carlo simulation verified that our novel model is a good alternative for the conventional DEA as well as the bootstrap DEA. Empirical application using Asia-Pacific airlines’ data (2008‒2015) shows that after accounting for the ‘pure’ random errors, the sampled Asia-Pacific airlines performed well during the study period but their ‘pure’ efficiency was declining, hence, there is still room for improvement.
- Subjects :
- Original Paper
Numerical Analysis
Asia-Pacific airlines
Confidence intervals
Strategy and Management
Management Science and Operations Research
Confidence interval
Bootstrap DEA
Stochastic frontier analysis
Asia pacific
Computational Theory and Mathematics
Management of Technology and Innovation
Modeling and Simulation
Statistics
Random error
Efficiency levels
Data envelopment analysis
Data envelopment analysis and stochastic
Statistics, Probability and Uncertainty
Inefficiency
Productivity
Monte Carlo simulation
Mathematics
Subjects
Details
- ISSN :
- 18661505 and 11092858
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Operational Research
- Accession number :
- edsair.doi.dedup.....5c2dc687d3f194ad1d9b86621765865a